• DocumentCode
    2996077
  • Title

    Optimum Design of Permanent Magnet Synchronous Motor Based on Gene Handling Genetic Algorithms

  • Author

    Gao, Jian ; Liu, Jiancheng ; Huang, Shoudao ; Huang, Keyuan

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    1449
  • Lastpage
    1452
  • Abstract
    The basic principles and optimization strategy of Gene Handling Genetic Algorithms (GHGA) was introduced in this paper. The mathematical model of optimum design of permanent magnet synchronous motor was established, and GHGA was applied to the optimum design of the NdFeB PMSM prototype, some corresponding curves about fitness changing with the generation were deduced. As optimal results, the cost of the effective material of PMSM had decreased significantly, and good effect could be achieved while the GHGA was applied to the optimum design of motor.
  • Keywords
    design engineering; genetic algorithms; permanent magnet motors; synchronous motors; NdFeB PMSM prototype; gene handling genetic algorithms; mathematical model; optimization strategy; optimum design; permanent magnet synchronous motor; Algorithm design and analysis; Biological cells; Genetics; Materials; Optimization; Permanent magnet motors; Synchronous motors; gene handling; genetic algorithms; optimization design; permanent magnet synchronous motor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.358
  • Filename
    5630675